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Semiquantitative Analysis of Brain Metabolism in Patients With Paraneoplastic Neurologic Syndromes

Clapp, Allison J. MD; Hunt, Christopher H. MD; Johnson, Geoffrey B. MD, PhD; Peller, Patrick J. MD

Clinical Nuclear Medicine:
doi: 10.1097/RLU.0b013e3182815f28
Original Articles
Abstract

Purpose: The objective of this study was to evaluate brain metabolism with 18F-FDG-PET in patients with definite or possible paraneoplastic neurologic syndromes (PNS) using qualitative assessment and semiquantitative measurements with subsequent correlation with MRI.

Methods: The institutional review board approved this Health Insurance Portability and Accountability Act–compliant study. A prospective PET database of patients referred for PNS between 2001 and 2010 was queried retrospectively and identified 102 patients who met the diagnostic criteria for PNS, had PET brain imaging, and lacked clinical or MRI evidence of an alternative diagnosis.

Qualitative and semiquantitative evaluation of brain metabolism was obtained by 3-dimensional stereotactic surface projection and region-based analysis. Qualitative and semiquantitative assessment was performed blinded to clinical data.

Results: PET/CT demonstrated that 67 patients had abnormal brain glucose metabolism. Six categories of brain hypometabolism were identified: diffuse (36/67), cerebellar (10/67), basal ganglia (10/67), frontal (9/67), temporal (1/67), and occipital (1/67). The mean Z score of the cerebral cortex in diffuse hypometabolism was 1.65 (range, 0.25–3.46). For cerebellar hypometabolism, the mean Z score of the cerebellum was 2.31 (range, 0.52–4.54). In basal ganglia hypometabolism, the mean Z score was 2.53 (range, 1.78–3.89), and in frontal lobe hypometabolism, the mean Z score was 2.11 (range, 1.39–4.45). The majority (39/67, 62.9%) with abnormal glucose metabolism on PET had a normal MR.

Conclusions: Patients with PNS frequently have abnormal brain metabolism on semiquantitative PET/CT. With semiquantitative analysis, we defined 6 common patterns of abnormalities, which often correlated with clinical symptoms. Both qualitative and semiquantitative analyses of brain glucose metabolism may be helpful in evaluating PNS, especially in patients with a normal MRI.

Author Information

From the Department of Radiology, Mayo Clinic, Rochester, MN.

Received for publication March 23, 2012; revision accepted November 13, 2012.

This work was supported by the Mayo Clinic CTSA through grant UL1 RR024150 from the National Center for Research Resources, a component of the National Institutes of Health.

This article is an original research and was presented at RSNA 2010.

Conflicts of interest and sources of funding: none declared.

Reprints: Patrick J. Peller, MD, Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905. E-mail: peller.patrick@mayo.edu.

© 2013 by Lippincott Williams & Wilkins